Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	24849
Missing cells	9079
Missing cells (%)	1.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.8 MiB
Average record size in memory	707.4 B

Variable types

Text	2
Categorical	5
Numeric	15
DateTime	2
Boolean	1

Alerts

`country_code` has constant value "GB"	Constant
`currency_native` has constant value "USD"	Constant
`scraped_during_month` has constant value "True"	Constant
`listing_type` is highly imbalanced (56.3%)	Imbalance
`bedrooms` is highly imbalanced (50.2%)	Imbalance
`city` is highly imbalanced (57.5%)	Imbalance
`cleaning_fee` has 9013 (36.3%) missing values	Missing
`cleaning_fee` has 4494 (18.1%) zeros	Zeros
`blocked_days` has 5097 (20.5%) zeros	Zeros
`occupancy_rate` has 515 (2.1%) zeros	Zeros
`reservation_days` has 515 (2.1%) zeros	Zeros
`number_of_reservation` has 4837 (19.5%) zeros	Zeros
`revenue_usd` has 475 (1.9%) zeros	Zeros
`revenue_native` has 475 (1.9%) zeros	Zeros

Reproduction

Analysis started	2024-05-17 20:46:19.945365
Analysis finished	2024-05-17 20:47:09.638579
Duration	49.69 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

property_type
Text

Distinct	56
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	34
Median length	32
Mean length	17.041974
Min length	3

Characters and Unicode

Total characters	423476
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Entire home
2nd row	Entire rental unit
3rd row	Private room in rental unit
4th row	Entire townhouse
5th row	Entire rental unit

Value	Count	Frequency (%)
entire	18402	25.6%
unit	8408	11.7%
rental	8408	11.7%
home	6267	8.7%
room	6257	8.7%
in	6242	8.7%
private	5134	7.1%
condo	4436	6.2%
townhouse	2062	2.9%
hotel	957	1.3%
Other values (34)	5358	7.4%

Most occurring characters

Value	Count	Frequency (%)
n	49356	11.7%
t	47915	11.3%
	47082	11.1%
e	46662	11.0%
i	40421	9.5%
r	38764	9.2%
o	34960	8.3%
E	18402	4.3%
a	16768	4.0%
u	14055	3.3%
Other values (25)	69091	16.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	423476	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	49356	11.7%
t	47915	11.3%
	47082	11.1%
e	46662	11.0%
i	40421	9.5%
r	38764	9.2%
o	34960	8.3%
E	18402	4.3%
a	16768	4.0%
u	14055	3.3%
Other values (25)	69091	16.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	423476	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	49356	11.7%
t	47915	11.3%
	47082	11.1%
e	46662	11.0%
i	40421	9.5%
r	38764	9.2%
o	34960	8.3%
E	18402	4.3%
a	16768	4.0%
u	14055	3.3%
Other values (25)	69091	16.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	423476	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	49356	11.7%
t	47915	11.3%
	47082	11.1%
e	46662	11.0%
i	40421	9.5%
r	38764	9.2%
o	34960	8.3%
E	18402	4.3%
a	16768	4.0%
u	14055	3.3%
Other values (25)	69091	16.3%

listing_type
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

entire_home	18592
private_room	6057
hotel_room	122
shared_room	78

Length

Max length	12
Median length	11
Mean length	11.238843
Min length	10

Characters and Unicode

Total characters	279274
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	entire_home
2nd row	entire_home
3rd row	private_room
4th row	entire_home
5th row	entire_home

Common Values

Value	Count	Frequency (%)
entire_home	18592	74.8%
private_room	6057	24.4%
hotel_room	122	0.5%
shared_room	78	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
entire_home	18592	74.8%
private_room	6057	24.4%
hotel_room	122	0.5%
shared_room	78	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	62033	22.2%
o	31228	11.2%
r	30984	11.1%
_	24849	8.9%
m	24849	8.9%
t	24771	8.9%
i	24649	8.8%
h	18792	6.7%
n	18592	6.7%
a	6135	2.2%
Other values (5)	12392	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	279274	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	62033	22.2%
o	31228	11.2%
r	30984	11.1%
_	24849	8.9%
m	24849	8.9%
t	24771	8.9%
i	24649	8.8%
h	18792	6.7%
n	18592	6.7%
a	6135	2.2%
Other values (5)	12392	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	279274	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	62033	22.2%
o	31228	11.2%
r	30984	11.1%
_	24849	8.9%
m	24849	8.9%
t	24771	8.9%
i	24649	8.8%
h	18792	6.7%
n	18592	6.7%
a	6135	2.2%
Other values (5)	12392	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	279274	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	62033	22.2%
o	31228	11.2%
r	30984	11.1%
_	24849	8.9%
m	24849	8.9%
t	24771	8.9%
i	24649	8.8%
h	18792	6.7%
n	18592	6.7%
a	6135	2.2%
Other values (5)	12392	4.4%

bedrooms
Categorical

IMBALANCE

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

1	13680
2	5707
3	2464
4	1504
Studio	688
Other values (9)	806

Length

Max length	6
Median length	1
Mean length	1.1395227
Min length	1

Characters and Unicode

Total characters	28316
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	6
5th row	1

Common Values

Value	Count	Frequency (%)
1	13680	55.1%
2	5707	23.0%
3	2464	9.9%
4	1504	6.1%
Studio	688	2.8%
5	526	2.1%
6	136	0.5%
0	57	0.2%
7	45	0.2%
11	12	< 0.1%
Other values (4)	30	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	13680	55.1%
2	5707	23.0%
3	2464	9.9%
4	1504	6.1%
studio	688	2.8%
5	526	2.1%
6	136	0.5%
0	57	0.2%
7	45	0.2%
11	12	< 0.1%
Other values (4)	30	0.1%

Most occurring characters

Value	Count	Frequency (%)
1	13719	48.4%
2	5719	20.2%
3	2464	8.7%
4	1504	5.3%
S	688	2.4%
t	688	2.4%
u	688	2.4%
d	688	2.4%
i	688	2.4%
o	688	2.4%
Other values (6)	782	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28316	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	13719	48.4%
2	5719	20.2%
3	2464	8.7%
4	1504	5.3%
S	688	2.4%
t	688	2.4%
u	688	2.4%
d	688	2.4%
i	688	2.4%
o	688	2.4%
Other values (6)	782	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28316	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	13719	48.4%
2	5719	20.2%
3	2464	8.7%
4	1504	5.3%
S	688	2.4%
t	688	2.4%
u	688	2.4%
d	688	2.4%
i	688	2.4%
o	688	2.4%
Other values (6)	782	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28316	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	13719	48.4%
2	5719	20.2%
3	2464	8.7%
4	1504	5.3%
S	688	2.4%
t	688	2.4%
u	688	2.4%
d	688	2.4%
i	688	2.4%
o	688	2.4%
Other values (6)	782	2.8%

bathrooms
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4504004

Minimum	0
Maximum	9
Zeros	93
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7837984
Coefficient of variation (CV)	0.54040139
Kurtosis	9.261414
Mean	1.4504004
Median Absolute Deviation (MAD)	0
Skewness	2.360229
Sum	36041
Variance	0.61433993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	16558	66.6%
2	6023	24.2%
3	1517	6.1%
4	519	2.1%
0	93	0.4%
5	84	0.3%
6	23	0.1%
7	12	< 0.1%
8	12	< 0.1%
9	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	93	0.4%
1	16558	66.6%
2	6023	24.2%
3	1517	6.1%
4	519	2.1%
5	84	0.3%
6	23	0.1%
7	12	< 0.1%
8	12	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
9	8	< 0.1%
8	12	< 0.1%
7	12	< 0.1%
6	23	0.1%
5	84	0.3%
4	519	2.1%
3	1517	6.1%
2	6023	24.2%
1	16558	66.6%
0	93	0.4%

country_code
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

GB	24849

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	49698
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GB
2nd row	GB
3rd row	GB
4th row	GB
5th row	GB

Common Values

Value	Count	Frequency (%)
GB	24849	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gb	24849	100.0%

Most occurring characters

Value	Count	Frequency (%)
G	24849	50.0%
B	24849	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49698	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
G	24849	50.0%
B	24849	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49698	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
G	24849	50.0%
B	24849	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49698	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
G	24849	50.0%
B	24849	50.0%

city
Categorical

IMBALANCE

Distinct	39
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Brighton and Hove	12588
Brighton	4768
The City of Brighton and Hove	2924
Kemptown	1772
Hove	1373
Other values (34)	1424

Length

Max length	29
Median length	17
Mean length	15.045193
Min length	2

Characters and Unicode

Total characters	373858
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Brighton
2nd row	Brighton
3rd row	Brighton
4th row	Brighton
5th row	Hove

Common Values

Value	Count	Frequency (%)
Brighton and Hove	12588	50.7%
Brighton	4768	19.2%
The City of Brighton and Hove	2924	11.8%
Kemptown	1772	7.1%
Hove	1373	5.5%
Brighton Marina	417	1.7%
Portslade	274	1.1%
Brighton & Hove	257	1.0%
Brighton	121	0.5%
Southwick	51	0.2%
Other values (29)	304	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brighton	21138	32.2%
hove	17191	26.2%
and	15528	23.6%
the	2924	4.4%
city	2924	4.4%
of	2924	4.4%
kemptown	1782	2.7%
marina	417	0.6%
portslade	274	0.4%
	257	0.4%
Other values (24)	379	0.6%

Most occurring characters

Value	Count	Frequency (%)
o	43403	11.6%
	41050	11.0%
n	39025	10.4%
t	26313	7.0%
i	24619	6.6%
h	24153	6.5%
e	22420	6.0%
r	21909	5.9%
g	21169	5.7%
B	21154	5.7%
Other values (32)	88643	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	373858	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	43403	11.6%
	41050	11.0%
n	39025	10.4%
t	26313	7.0%
i	24619	6.6%
h	24153	6.5%
e	22420	6.0%
r	21909	5.9%
g	21169	5.7%
B	21154	5.7%
Other values (32)	88643	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	373858	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	43403	11.6%
	41050	11.0%
n	39025	10.4%
t	26313	7.0%
i	24619	6.6%
h	24153	6.5%
e	22420	6.0%
r	21909	5.9%
g	21169	5.7%
B	21154	5.7%
Other values (32)	88643	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	373858	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	43403	11.6%
	41050	11.0%
n	39025	10.4%
t	26313	7.0%
i	24619	6.6%
h	24153	6.5%
e	22420	6.0%
r	21909	5.9%
g	21169	5.7%
B	21154	5.7%
Other values (32)	88643	23.7%

zipcode
Text

Distinct	1413
Distinct (%)	5.7%
Missing	66
Missing (%)	0.3%
Memory size	1.5 MiB

Length

Max length	8
Median length	7
Mean length	7.0150103
Min length	7

Characters and Unicode

Total characters	173853
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	0.3%

Sample

1st row	BN1 1BG
2nd row	BN1 4AQ
3rd row	BN3 4GP
4th row	BN2 9XH
5th row	BN3 3UA

Value	Count	Frequency (%)
bn1	10045	20.3%
bn2	8158	16.5%
bn3	6208	12.5%
bn41	303	0.6%
1et	282	0.6%
1ae	279	0.6%
2fg	220	0.4%
2ps	191	0.4%
5xz	169	0.3%
1pg	156	0.3%
Other values (1172)	23555	47.5%

Most occurring characters

Value	Count	Frequency (%)
B	27822	16.0%
N	27263	15.7%
	24783	14.3%
1	17589	10.1%
2	11659	6.7%
3	10356	6.0%
E	4313	2.5%
A	4149	2.4%
P	3320	1.9%
D	3245	1.9%
Other values (21)	39354	22.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	173853	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	27822	16.0%
N	27263	15.7%
	24783	14.3%
1	17589	10.1%
2	11659	6.7%
3	10356	6.0%
E	4313	2.5%
A	4149	2.4%
P	3320	1.9%
D	3245	1.9%
Other values (21)	39354	22.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	173853	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	27822	16.0%
N	27263	15.7%
	24783	14.3%
1	17589	10.1%
2	11659	6.7%
3	10356	6.0%
E	4313	2.5%
A	4149	2.4%
P	3320	1.9%
D	3245	1.9%
Other values (21)	39354	22.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	173853	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	27822	16.0%
N	27263	15.7%
	24783	14.3%
1	17589	10.1%
2	11659	6.7%
3	10356	6.0%
E	4313	2.5%
A	4149	2.4%
P	3320	1.9%
D	3245	1.9%
Other values (21)	39354	22.6%

latitude
Real number (ℝ)

Distinct	2047
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.828409

Minimum	50.807684
Maximum	50.87611
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	50.807684
5-th percentile	50.81794
Q1	50.82207
median	50.82646
Q3	50.832315
95-th percentile	50.847
Maximum	50.87611
Range	0.068426246
Interquartile range (IQR)	0.010245355

Descriptive statistics

Standard deviation	0.0094668918
Coefficient of variation (CV)	0.00018625198
Kurtosis	2.7523398
Mean	50.828409
Median Absolute Deviation (MAD)	0.00503
Skewness	1.3969375
Sum	1263035.1
Variance	8.962204 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50.823	540	2.2%
50.824	442	1.8%
50.826	438	1.8%
50.82	422	1.7%
50.825	406	1.6%
50.827	299	1.2%
50.819	280	1.1%
50.829	270	1.1%
50.821	264	1.1%
50.828	251	1.0%
Other values (2037)	21237	85.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50.80768375	3	< 0.1%
50.80877	12	< 0.1%
50.809	2	< 0.1%
50.80943	12	< 0.1%
50.81	16	0.1%
50.81005	3	< 0.1%
50.81013	3	< 0.1%
50.81025	7	< 0.1%
50.81029	1	< 0.1%
50.81031	12	< 0.1%

Value	Count	Frequency (%)
50.87611	1	< 0.1%
50.87401	2	< 0.1%
50.87055	11	< 0.1%
50.87025	11	< 0.1%
50.87009	12	< 0.1%
50.86913	11	< 0.1%
50.869	2	< 0.1%
50.86874	4	< 0.1%
50.86862	4	< 0.1%
50.86786	11	< 0.1%

longitude
Real number (ℝ)

Distinct	2678
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.14507685

Minimum	-0.22709
Maximum	-0.04482
Zeros	0
Zeros (%)	0.0%
Negative	24849
Negative (%)	100.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	-0.22709
5-th percentile	-0.189
Q1	-0.15693
median	-0.14208
Q3	-0.13101
95-th percentile	-0.1062
Maximum	-0.04482
Range	0.18227
Interquartile range (IQR)	0.02592

Descriptive statistics

Standard deviation	0.024412851
Coefficient of variation (CV)	-0.16827531
Kurtosis	1.1893804
Mean	-0.14507685
Median Absolute Deviation (MAD)	0.01255
Skewness	-0.27440994
Sum	-3605.0146
Variance	0.00059598731
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.142	182	0.7%
-0.139	179	0.7%
-0.135	175	0.7%
-0.143	174	0.7%
-0.15	171	0.7%
-0.158	166	0.7%
-0.136	163	0.7%
-0.156	160	0.6%
-0.14	154	0.6%
-0.13	148	0.6%
Other values (2668)	23177	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.22709	10	< 0.1%
-0.226	2	< 0.1%
-0.225	4	< 0.1%
-0.2241231838	2	< 0.1%
-0.22347	4	< 0.1%
-0.22324	9	< 0.1%
-0.22313	3	< 0.1%
-0.22295	8	< 0.1%
-0.22256	12	< 0.1%
-0.22237	3	< 0.1%

Value	Count	Frequency (%)
-0.04482	11	< 0.1%
-0.05791	5	< 0.1%
-0.05954	8	< 0.1%
-0.06	13	0.1%
-0.06062	4	< 0.1%
-0.061	6	< 0.1%
-0.062	5	< 0.1%
-0.06219	2	< 0.1%
-0.06228	3	< 0.1%
-0.06304	3	< 0.1%

currency_native
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

USD	24849

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	74547
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	24849	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
usd	24849	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	24849	33.3%
S	24849	33.3%
D	24849	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	74547	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	24849	33.3%
S	24849	33.3%
D	24849	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	74547	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	24849	33.3%
S	24849	33.3%
D	24849	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	74547	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	24849	33.3%
S	24849	33.3%
D	24849	33.3%

airbnb_property_id
Real number (ℝ)

Distinct	3928
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2287281 × 10¹⁷

Minimum	74819
Maximum	9.8614365 × 10¹⁷
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	74819
5-th percentile	3979489
Q1	24214574
median	46274683
Q3	6.1421009 × 10¹⁷
95-th percentile	8.8053443 × 10¹⁷
Maximum	9.8614365 × 10¹⁷
Range	9.8614365 × 10¹⁷
Interquartile range (IQR)	6.1421009 × 10¹⁷

Descriptive statistics

Standard deviation	3.4522334 × 10¹⁷
Coefficient of variation (CV)	1.5489702
Kurtosis	-0.87355516
Mean	2.2287281 × 10¹⁷
Median Absolute Deviation (MAD)	27349779
Skewness	0.98067943
Sum	4.1431653 × 10¹⁸
Variance	1.1917915 × 10³⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74819	12	< 0.1%
36368917	12	< 0.1%
36719040	12	< 0.1%
36878711	12	< 0.1%
37100138	12	< 0.1%
37138753	12	< 0.1%
37144071	12	< 0.1%
37212162	12	< 0.1%
37239145	12	< 0.1%
37289228	12	< 0.1%
Other values (3918)	24729	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
74819	12	< 0.1%
98654	3	< 0.1%
146850	1	< 0.1%
230787	6	< 0.1%
280982	12	< 0.1%
282004	12	< 0.1%
301663	1	< 0.1%
330733	2	< 0.1%
338466	12	< 0.1%
339054	12	< 0.1%

Value	Count	Frequency (%)
9.861436506 × 10¹⁷	1	< 0.1%
9.853896624 × 10¹⁷	2	< 0.1%
9.853267247 × 10¹⁷	2	< 0.1%
9.845939358 × 10¹⁷	1	< 0.1%
9.831649149 × 10¹⁷	1	< 0.1%
9.803914576 × 10¹⁷	1	< 0.1%
9.798282097 × 10¹⁷	2	< 0.1%
9.79736385 × 10¹⁷	2	< 0.1%
9.796508649 × 10¹⁷	1	< 0.1%
9.79626223 × 10¹⁷	1	< 0.1%

airbnb_host_id
Real number (ℝ)

Distinct	2454
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4621234 × 10⁸

Minimum	32786
Maximum	5.3821624 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	32786
5-th percentile	3354557.4
Q1	20769306
median	77640296
Q3	2.429231 × 10⁸
95-th percentile	4.6387144 × 10⁸
Maximum	5.3821624 × 10⁸
Range	5.3818346 × 10⁸
Interquartile range (IQR)	2.2215379 × 10⁸

Descriptive statistics

Standard deviation	1.5542777 × 10⁸
Coefficient of variation (CV)	1.0630277
Kurtosis	-0.36710968
Mean	1.4621234 × 10⁸
Median Absolute Deviation (MAD)	68686588
Skewness	0.98485445
Sum	3.6332305 × 10¹²
Variance	2.4157792 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9802857	645	2.6%
183539480	579	2.3%
96169037	311	1.3%
279714013	283	1.1%
190150800	278	1.1%
298960871	272	1.1%
402695524	230	0.9%
394289502	157	0.6%
449399092	156	0.6%
116513439	133	0.5%
Other values (2444)	21805	87.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32786	8	< 0.1%
70728	7	< 0.1%
75775	7	< 0.1%
116489	1	< 0.1%
117767	2	< 0.1%
127009	3	< 0.1%
136985	7	< 0.1%
144058	5	< 0.1%
150889	7	< 0.1%
165249	12	< 0.1%

Value	Count	Frequency (%)
538216244	2	< 0.1%
538027701	1	< 0.1%
536976317	2	< 0.1%
536896805	2	< 0.1%
536813453	1	< 0.1%
536789832	2	< 0.1%
535519196	2	< 0.1%
534641757	1	< 0.1%
534491647	2	< 0.1%
531998812	2	< 0.1%

last_seen
Date

Distinct	80
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	194.3 KiB

Minimum	2022-07-13 00:00:00
Maximum	2024-01-10 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

cleaning_fee
Real number (ℝ)

MISSING ZEROS

Distinct	178
Distinct (%)	1.1%
Missing	9013
Missing (%)	36.3%
Infinite	0
Infinite (%)	0.0%
Mean	51.998564

Minimum	0
Maximum	566
Zeros	4494
Zeros (%)	18.1%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	39
Q3	78
95-th percentile	169
Maximum	566
Range	566
Interquartile range (IQR)	78

Descriptive statistics

Standard deviation	58.669597
Coefficient of variation (CV)	1.1282926
Kurtosis	7.10233
Mean	51.998564
Median Absolute Deviation (MAD)	39
Skewness	2.007014
Sum	823449.26
Variance	3442.1217
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4494	18.1%
39	574	2.3%
13	548	2.2%
65	512	2.1%
20	433	1.7%
33	432	1.7%
52	411	1.7%
26	363	1.5%
27	286	1.2%
46	285	1.1%
Other values (168)	7498	30.2%
(Missing)	9013	36.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4494	18.1%
5	1	< 0.1%
6	11	< 0.1%
7	185	0.7%
8	23	0.1%
9	20	0.1%
10	65	0.3%
11	18	0.1%
12	67	0.3%
13	548	2.2%

Value	Count	Frequency (%)
566	9	< 0.1%
408	12	< 0.1%
393	4	< 0.1%
391	12	< 0.1%
326	12	< 0.1%
320	12	< 0.1%
299	12	< 0.1%
290	6	< 0.1%
283	9	< 0.1%
274	11	< 0.1%

reporting_month
Date

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	194.3 KiB

Minimum	2022-11-01 00:00:00
Maximum	2023-10-01 00:00:00

Histogram

Histogram with fixed size bins (bins=12)

blocked_days
Real number (ℝ)

ZEROS

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.3470965

Minimum	0
Maximum	30
Zeros	5097
Zeros (%)	20.5%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	9
95-th percentile	25
Maximum	30
Range	30
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	8.1094892
Coefficient of variation (CV)	1.2776691
Kurtosis	1.037268
Mean	6.3470965
Median Absolute Deviation (MAD)	3
Skewness	1.4791229
Sum	157719
Variance	65.763816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	5097	20.5%
1	4895	19.7%
2	1984	8.0%
3	1959	7.9%
4	1312	5.3%
5	1068	4.3%
6	842	3.4%
8	685	2.8%
7	681	2.7%
25	521	2.1%
Other values (21)	5805	23.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5097	20.5%
1	4895	19.7%
2	1984	8.0%
3	1959	7.9%
4	1312	5.3%
5	1068	4.3%
6	842	3.4%
7	681	2.7%
8	685	2.8%
9	497	2.0%

Value	Count	Frequency (%)
30	171	0.7%
29	316	1.3%
28	169	0.7%
27	357	1.4%
26	192	0.8%
25	521	2.1%
24	217	0.9%
23	265	1.1%
22	227	0.9%
21	191	0.8%

available_days
Real number (ℝ)

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.652904

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	22
median	28
Q3	30
95-th percentile	31
Maximum	31
Range	30
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	8.1094892
Coefficient of variation (CV)	0.32894662
Kurtosis	1.037268
Mean	24.652904
Median Absolute Deviation (MAD)	3
Skewness	-1.4791229
Sum	612600
Variance	65.763816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
31	5097	20.5%
30	4895	19.7%
29	1984	8.0%
28	1959	7.9%
27	1312	5.3%
26	1068	4.3%
25	842	3.4%
23	685	2.8%
24	681	2.7%
6	521	2.1%
Other values (21)	5805	23.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	171	0.7%
2	316	1.3%
3	169	0.7%
4	357	1.4%
5	192	0.8%
6	521	2.1%
7	217	0.9%
8	265	1.1%
9	227	0.9%
10	191	0.8%

Value	Count	Frequency (%)
31	5097	20.5%
30	4895	19.7%
29	1984	8.0%
28	1959	7.9%
27	1312	5.3%
26	1068	4.3%
25	842	3.4%
24	681	2.7%
23	685	2.8%
22	497	2.0%

scraped_during_month
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	24.4 KiB

True	24849

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	24849	100.0%

occupancy_rate
Real number (ℝ)

ZEROS

Distinct	259
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.041664

Minimum	0
Maximum	100
Zeros	515
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	41.7
median	70.3
Q3	96.9
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	55.2

Descriptive statistics

Standard deviation	30.089373
Coefficient of variation (CV)	0.45561198
Kurtosis	-0.99308822
Mean	66.041664
Median Absolute Deviation (MAD)	27.7
Skewness	-0.46199308
Sum	1641069.3
Variance	905.37037
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	5823	23.4%
60	813	3.3%
0	515	2.1%
80	513	2.1%
40	457	1.8%
96	354	1.4%
72	336	1.4%
30	272	1.1%
48	267	1.1%
90	240	1.0%
Other values (249)	15259	61.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	515	2.1%
3.9	65	0.3%
4	36	0.1%
4.1	25	0.1%
4.3	20	0.1%
4.4	16	0.1%
4.6	6	< 0.1%
4.8	4	< 0.1%
5	9	< 0.1%
5.2	6	< 0.1%

Value	Count	Frequency (%)
100	5823	23.4%
99.3	80	0.3%
99.1	31	0.1%
98.8	24	0.1%
98.6	72	0.3%
98.2	36	0.1%
97.8	79	0.3%
97.5	16	0.1%
97.1	29	0.1%
96.9	43	0.2%

reservation_days
Real number (ℝ)

ZEROS

Distinct	32
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.021731

Minimum	0
Maximum	31
Zeros	515
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	14
Q3	21
95-th percentile	28
Maximum	31
Range	31
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.3469042
Coefficient of variation (CV)	0.59528342
Kurtosis	-1.0367659
Mean	14.021731
Median Absolute Deviation (MAD)	7
Skewness	0.13921398
Sum	348426
Variance	69.670809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
4	1045	4.2%
13	950	3.8%
14	940	3.8%
17	937	3.8%
2	935	3.8%
15	925	3.7%
6	922	3.7%
11	920	3.7%
16	914	3.7%
8	910	3.7%
Other values (22)	15451	62.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	515	2.1%
1	754	3.0%
2	935	3.8%
3	830	3.3%
4	1045	4.2%
5	895	3.6%
6	922	3.7%
7	899	3.6%
8	910	3.7%
9	886	3.6%

Value	Count	Frequency (%)
31	225	0.9%
30	424	1.7%
29	389	1.6%
28	452	1.8%
27	516	2.1%
26	610	2.5%
25	646	2.6%
24	717	2.9%
23	745	3.0%
22	835	3.4%

adr_usd
Real number (ℝ)

Distinct	1068
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	195.49237

Minimum	11
Maximum	2708
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	11
5-th percentile	55
Q1	98
median	147
Q3	225
95-th percentile	494
Maximum	2708
Range	2697
Interquartile range (IQR)	127

Descriptive statistics

Standard deviation	179.58253
Coefficient of variation (CV)	0.91861656
Kurtosis	25.289929
Mean	195.49237
Median Absolute Deviation (MAD)	58
Skewness	4.0068602
Sum	4857790
Variance	32249.886
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
122	168	0.7%
112	167	0.7%
121	161	0.6%
124	155	0.6%
109	151	0.6%
123	151	0.6%
81	144	0.6%
110	144	0.6%
97	142	0.6%
95	142	0.6%
Other values (1058)	23324	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	2	< 0.1%
13	1	< 0.1%
14	4	< 0.1%
20	2	< 0.1%
21	3	< 0.1%
23	1	< 0.1%
24	10	< 0.1%
25	6	< 0.1%
26	5	< 0.1%
27	12	< 0.1%

Value	Count	Frequency (%)
2708	1	< 0.1%
2603	1	< 0.1%
2420	1	< 0.1%
2339	1	< 0.1%
2278	1	< 0.1%
2239	1	< 0.1%
2238	1	< 0.1%
2159	1	< 0.1%
2141	1	< 0.1%
2046	1	< 0.1%

adr_native
Real number (ℝ)

Distinct	890
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.43539

Minimum	9
Maximum	2139
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	9
5-th percentile	43
Q1	77
median	116
Q3	178
95-th percentile	390
Maximum	2139
Range	2130
Interquartile range (IQR)	101

Descriptive statistics

Standard deviation	141.87083
Coefficient of variation (CV)	0.91864197
Kurtosis	25.291374
Mean	154.43539
Median Absolute Deviation (MAD)	46
Skewness	4.0070545
Sum	3837565
Variance	20127.332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96	329	1.3%
88	294	1.2%
77	278	1.1%
100	270	1.1%
115	259	1.0%
73	257	1.0%
85	245	1.0%
111	245	1.0%
103	245	1.0%
92	244	1.0%
Other values (880)	22183	89.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	2	< 0.1%
10	1	< 0.1%
11	4	< 0.1%
16	2	< 0.1%
17	3	< 0.1%
18	1	< 0.1%
19	10	< 0.1%
20	6	< 0.1%
21	17	0.1%
22	4	< 0.1%

Value	Count	Frequency (%)
2139	1	< 0.1%
2056	1	< 0.1%
1912	1	< 0.1%
1848	1	< 0.1%
1800	1	< 0.1%
1769	1	< 0.1%
1768	1	< 0.1%
1706	1	< 0.1%
1691	1	< 0.1%
1616	1	< 0.1%

number_of_reservation
Real number (ℝ)

ZEROS

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4161133

Minimum	0
Maximum	27
Zeros	4837
Zeros (%)	19.5%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	10
Maximum	27
Range	27
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.4963265
Coefficient of variation (CV)	1.0234808
Kurtosis	4.3073902
Mean	3.4161133
Median Absolute Deviation (MAD)	2
Skewness	1.7557164
Sum	84887
Variance	12.224299
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	4837	19.5%
1	3915	15.8%
2	3661	14.7%
3	3012	12.1%
4	2520	10.1%
5	1763	7.1%
6	1328	5.3%
7	1000	4.0%
8	739	3.0%
9	535	2.2%
Other values (18)	1539	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4837	19.5%
1	3915	15.8%
2	3661	14.7%
3	3012	12.1%
4	2520	10.1%
5	1763	7.1%
6	1328	5.3%
7	1000	4.0%
8	739	3.0%
9	535	2.2%

Value	Count	Frequency (%)
27	2	< 0.1%
26	5	< 0.1%
25	5	< 0.1%
24	3	< 0.1%
23	8	< 0.1%
22	13	0.1%
21	22	0.1%
20	26	0.1%
19	27	0.1%
18	37	0.1%

revenue_usd
Real number (ℝ)

ZEROS

Distinct	6436
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2659.0292

Minimum	0
Maximum	64005
Zeros	475
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	190
Q1	969
median	1980
Q3	3427
95-th percentile	7293.6
Maximum	64005
Range	64005
Interquartile range (IQR)	2458

Descriptive statistics

Standard deviation	2809.9139
Coefficient of variation (CV)	1.0567443
Kurtosis	46.457334
Mean	2659.0292
Median Absolute Deviation (MAD)	1148
Skewness	4.4818465
Sum	66074216
Variance	7895615.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	475	1.9%
1260	40	0.2%
1560	37	0.1%
1620	35	0.1%
1320	32	0.1%
1680	32	0.1%
480	32	0.1%
1728	32	0.1%
840	31	0.1%
1344	29	0.1%
Other values (6426)	24074	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	475	1.9%
11	1	< 0.1%
13	2	< 0.1%
14	2	< 0.1%
20	1	< 0.1%
25	2	< 0.1%
26	1	< 0.1%
28	3	< 0.1%
31	1	< 0.1%
33	1	< 0.1%

Value	Count	Frequency (%)
64005	1	< 0.1%
55886	1	< 0.1%
51532	1	< 0.1%
51424	1	< 0.1%
51314	1	< 0.1%
49654	1	< 0.1%
44425	1	< 0.1%
42426	1	< 0.1%
40894	1	< 0.1%
35355	1	< 0.1%

revenue_native
Real number (ℝ)

ZEROS

Distinct	5517
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2100.6317

Minimum	0
Maximum	50564
Zeros	475
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	194.3 KiB

Quantile statistics

Minimum	0
5-th percentile	150
Q1	766
median	1564
Q3	2707
95-th percentile	5762
Maximum	50564
Range	50564
Interquartile range (IQR)	1941

Descriptive statistics

Standard deviation	2219.8291
Coefficient of variation (CV)	1.0567436
Kurtosis	46.457728
Mean	2100.6317
Median Absolute Deviation (MAD)	907
Skewness	4.4818616
Sum	52198596
Variance	4927641.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	475	1.9%
995	42	0.2%
1232	38	0.2%
1280	35	0.1%
1706	35	0.1%
1217	34	0.1%
758	32	0.1%
1365	32	0.1%
379	32	0.1%
1770	32	0.1%
Other values (5507)	24062	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	475	1.9%
9	1	< 0.1%
10	2	< 0.1%
11	2	< 0.1%
16	1	< 0.1%
20	2	< 0.1%
21	1	< 0.1%
22	3	< 0.1%
24	1	< 0.1%
26	1	< 0.1%

Value	Count	Frequency (%)
50564	1	< 0.1%
44150	1	< 0.1%
40710	1	< 0.1%
40625	1	< 0.1%
40538	1	< 0.1%
39227	1	< 0.1%
35096	1	< 0.1%
33517	1	< 0.1%
32306	1	< 0.1%
27930	1	< 0.1%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	listing_type	bedrooms	bathrooms	country_code	city	zipcode	latitude	longitude	currency_native	airbnb_property_id	airbnb_host_id	last_seen	cleaning_fee	reporting_month	blocked_days	available_days	scraped_during_month	occupancy_rate	reservation_days	adr_usd	adr_native	number_of_reservation	revenue_usd	revenue_native
0	Entire home	entire_home	2	2	GB	Brighton	BN1 1BG	50.82214	-0.14175	USD	74819	394634	2024-01-10	46.0	2023-10	0	31	True	46.5	12	244	193	1	2974	2349
1	Entire rental unit	entire_home	1	1	GB	Brighton	BN1 4AQ	50.82745	-0.14099	USD	230787	1206208	2024-01-10	NaN	2023-10	0	31	True	7.7	2	171	135	2	342	270
2	Private room in rental unit	private_room	1	1	GB	Brighton	BN3 4GP	50.82537	-0.18462	USD	280982	1464811	2024-01-10	10.0	2023-10	0	31	True	15.5	4	73	58	2	312	246
3	Entire townhouse	entire_home	6	3	GB	Brighton	BN2 9XH	50.82828	-0.12467	USD	282004	357161	2024-01-10	260.0	2023-10	0	31	True	0.0	0	537	424	0	0	0
4	Entire rental unit	entire_home	1	2	GB	Hove	BN3 3UA	50.83128	-0.16963	USD	338466	1718506	2024-01-10	33.0	2023-10	0	31	True	100.0	31	95	75	0	2945	2327
5	Entire rental unit	entire_home	1	1	GB	Hove	BN3 3AB	50.82738	-0.16405	USD	339054	1718506	2024-01-10	13.0	2023-10	0	31	True	100.0	31	88	70	0	2728	2155
6	Entire rental unit	entire_home	1	1	GB	Brighton	BN2 1RJ	50.82123	-0.13470	USD	380924	127009	2024-01-10	NaN	2023-10	0	31	True	65.8	17	112	88	4	1904	1504
7	Entire rental unit	entire_home	1	1	GB	Hove	BN3 1HE	50.82496	-0.16139	USD	478625	2298136	2024-01-10	0.0	2023-10	0	31	True	100.0	27	138	109	0	3726	2944
8	Entire rental unit	entire_home	3	2	GB	Brighton	BN2 3DD	50.83200	-0.12900	USD	543770	2673333	2024-01-10	156.0	2023-10	0	31	True	15.5	4	419	331	1	1832	1447
9	Entire home	entire_home	3	2	GB	Brighton	BN2 9PE	50.82582	-0.12841	USD	568861	2799595	2024-01-10	65.0	2023-10	7	24	True	70.0	14	244	193	1	3481	2750

	property_type	listing_type	bedrooms	bathrooms	country_code	city	zipcode	latitude	longitude	currency_native	airbnb_property_id	airbnb_host_id	last_seen	cleaning_fee	reporting_month	blocked_days	available_days	scraped_during_month	occupancy_rate	reservation_days	adr_usd	adr_native	number_of_reservation	revenue_usd	revenue_native
24839	Entire rental unit	entire_home	3	2	GB	Brighton and Hove	BN1 3AU	50.83004	-0.15090	USD	54256921	279714013	2024-01-03	NaN	2022-11	15	16	True	60.0	8	151	119	1	1208	954
24840	Private room in bed and breakfast	private_room	1	1	GB	Kemptown	BN2 0GA	50.82272	-0.12911	USD	54290503	240961152	2023-11-29	NaN	2022-11	1	30	True	68.0	17	175	138	4	2975	2350
24841	Entire rental unit	entire_home	2	1	GB	Brighton and Hove	BN2 3LQ	50.83581	-0.12174	USD	54302085	82702376	2022-11-16	NaN	2022-11	2	29	True	78.6	19	122	96	6	2318	1831
24842	Entire rental unit	entire_home	3	1	GB	Hove	BN3 1AE	50.82582	-0.15627	USD	54336313	167762620	2024-01-03	NaN	2022-11	1	30	True	28.0	7	144	114	2	1008	796
24843	Private room in guesthouse	private_room	1	1	GB	Kemptown	BN2 1ET	50.81930	-0.13528	USD	54340564	323624263	2024-01-03	NaN	2022-11	4	27	True	13.3	3	113	89	1	339	268
24844	Entire vacation home	entire_home	2	1	GB	Kemptown	BN2 1PB	50.82000	-0.13200	USD	54347393	176789949	2024-01-03	NaN	2022-11	1	30	True	100.0	26	151	119	5	3926	3102
24845	Private room in townhouse	private_room	Studio	0	GB	Brighton and Hove	BN2 9NY	50.82823	-0.12913	USD	54351505	41620326	2024-01-03	NaN	2022-11	2	29	True	37.2	9	81	64	4	729	576
24846	Entire condo	entire_home	1	2	GB	Brighton and Hove	BN3 3QB	50.83145	-0.16843	USD	54368579	168075111	2023-05-17	NaN	2022-11	25	6	True	20.0	1	104	82	0	104	82
24847	Entire condo	entire_home	1	1	GB	Brighton and Hove	BN3 2DL	50.82802	-0.17510	USD	54386482	3289223	2024-01-03	NaN	2022-11	5	26	True	55.4	12	82	65	5	984	777
24848	Entire condo	entire_home	1	1	GB	Brighton and Hove	BN1 8WA	50.85864	-0.15201	USD	54409228	436767564	2024-01-03	NaN	2022-11	17	14	True	8.6	1	66	52	0	66	52

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts